fcp {SensoMineR} | R Documentation |
Free choice profiling
Description
Free choice profiling with confidence ellipses
Usage
fcp(X,group,scale=TRUE, ncp = NULL, axes=c(1,2), name.group = NULL, level.conf = 0.95,
nbsim=500, nbchoix=NULL, cex=1, color=NULL, title=NULL, new.plot=TRUE,
graph=c("ind","var","ellipse"))
Arguments
X |
data.frame |
group |
a list indicating the number of variables in each group; used when method="freechoice" or method="hsort" |
scale |
boolean, used when method="freechoice"; if TRUE, the variables are scaled |
ncp |
number of components used to procrustes the virtual subspaces on the true subspace; NULL by default and the number of components is estimated |
axes |
a length 2 vector specifying the components to plot |
name.group |
the names of each group of variables |
level.conf |
confidence level used to construct the ellipses. By default, 0.95 |
nbsim |
the number of simulations (corresponding to the number of virtual panels) used to compute the ellipses |
nbchoix |
the number of panelists forming a virtual panel, by default the number of panelists in the original panel |
cex |
cf. function |
color |
a vector with the colors used; by default there are 35 colors defined |
title |
string corresponding to the title of the graph you draw (by default NULL and a title is chosen) |
new.plot |
boolean, if TRUE, a new graphical device is created |
graph |
list with the graphs to draw; "ind", "var" and "ellipse" by default |
Details
Perform MFA on the data frame and calculate confidence ellipses around the products
Value
Returns a list with the result of the MFA and the bootstraped results that can be used with the plotellipse function.
Author(s)
Francois Husson
Examples
## Not run:
data(perfume_fcp)
res <- fcp(perfume_fcp, group = c(12,7,7,7,6,8))
## End(Not run)